Five actionable steps to measure value, control costs, and scale high-impact AI workflows in an era of autonomous agents

The agentic era marks a paradigm shift from static AI tools to autonomous, goal-driven agents capable of executing multi-step workflows without constant human intervention. By 2026, enterpri...

Visibility is the cornerstone of effective AI investment management in the agentic era. Enterprises must adopt a multi-dimensional approach to track usage, demand, and spend across users, te...

Model efficiency is no longer just about token pricing—it’s about the total cost of achieving acceptable outcomes. A cheaper model may fail more often, requiring retries or human corrections...

The agentic era presents a transformative opportunity for enterprises to scale AI investments beyond productivity tools to autonomous, high-value workflows. Success hinges on five key strategies: sharpening visibility into usage and spend, evaluating model efficiency by outcome ROI, governing advanced workflows before scaling, funding compounding workflows, and matching capacity to proven demand. However, these strategies must be balanced with robust governance, ethical considerations, and workforce transition planning to mitigate risks. Looking ahead, the focus will shift from *if* enterprises should adopt agentic AI to *how* they can do so sustainably. As models like GPT-5.6 continue to improve in efficiency, the challenge will be ensuring that AI investments align with business value—not just technological capability. Enterprises that master this balance will gain a competitive edge, while those that fail to adapt risk falling behind in an increasingly autonomous future.